{
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:5b0a2ee8-4637-48ed-9362-d07a80c45112.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'想要有直升机\\n想要和你飞到宇宙去\\n想要和你融化在一起\\n融化在宇宙里\\n我每天每天每'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 读取数据集\n",
    "from mxnet import nd\n",
    "import random\n",
    "import zipfile\n",
    "\n",
    "with zipfile.ZipFile('./data/jaychou_lyrics.txt.zip') as zin:\n",
    "    with zin.open('jaychou_lyrics.txt') as f:\n",
    "        corpus_chars = f.read().decode('utf-8')\n",
    "corpus_chars[:40]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 把换行符替换成空格，然后仅使用1万个字符来训练模型\n",
    "corpus_chars = corpus_chars.replace('\\n', ' ').replace('\\r', ' ')\n",
    "corpus_chars = corpus_chars[0:10000]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1027"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 建立字符索引\n",
    "# 将每个字符映射成⼀个从0开始的连续整数，⼜称索引，来⽅便之后的数据处理\n",
    "# 将数据集⾥所有不同字符取出来，然后将其逐⼀映射到索引来构造词典\n",
    "idx_to_char = list(set(corpus_chars))\n",
    "char_to_idx = dict([(char, i) for i, char in enumerate(idx_to_char)])\n",
    "vocab_size = len(char_to_idx)\n",
    "vocab_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "chars: 想要有直升机 想要和你飞到宇宙去 想要和\n",
      "indices: [563, 873, 387, 964, 259, 980, 898, 563, 873, 432, 475, 604, 616, 881, 639, 226, 898, 563, 873, 432]\n"
     ]
    }
   ],
   "source": [
    "corpus_indices = [char_to_idx[char] for char in corpus_chars]\n",
    "sample = corpus_indices[:20]\n",
    "print('chars:', ''.join([idx_to_char[idx] for idx in sample]))\n",
    "print('indices:', sample)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 时序数据的采样\n",
    "# 随机采样，每次从数据中随机采样一个小批量\n",
    "# 在随机采样中，每个样本是原始序列上任意截取的⼀段序列。相邻的两个随机小批量在原始序列上的位置不⼀定相毗邻。\n",
    "def data_iter_random(corpus_indices, batch_size, num_steps, ctx=None):\n",
    "    # 减1是因为输出的索引是相应输入的索引加1\n",
    "    # 如果不减1的话，可能会选取到[24,25,26,27,28,29]为样本而标签会越界\n",
    "    num_examples = (len(corpus_indices) - 1) // num_steps\n",
    "    # print(num_examples)\n",
    "    epoch_size = num_examples // batch_size\n",
    "    # print(epoch_size)\n",
    "    example_indices = list(range(num_examples))\n",
    "    # print(example_indices)\n",
    "    random.shuffle(example_indices)\n",
    "    \n",
    "    # 返回从pos开始的长为num_steps的序列\n",
    "    def _data(pos):\n",
    "        return corpus_indices[pos: pos + num_steps]\n",
    "    \n",
    "    for i in range(epoch_size):\n",
    "        # 每次读取batch_size个随机样本\n",
    "        i = i * batch_size\n",
    "        batch_indices = example_indices[i: i + batch_size]\n",
    "        X = [_data(j*num_steps) for j in batch_indices]\n",
    "        Y = [_data(j*num_steps+1) for j in batch_indices]\n",
    "        yield nd.array(X, ctx), nd.array(Y, ctx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X: \n",
      "[[12. 13. 14. 15. 16. 17.]\n",
      " [ 0.  1.  2.  3.  4.  5.]]\n",
      "<NDArray 2x6 @cpu(0)> \n",
      "Y: \n",
      "[[13. 14. 15. 16. 17. 18.]\n",
      " [ 1.  2.  3.  4.  5.  6.]]\n",
      "<NDArray 2x6 @cpu(0)> \n",
      "\n",
      "X: \n",
      "[[ 6.  7.  8.  9. 10. 11.]\n",
      " [18. 19. 20. 21. 22. 23.]]\n",
      "<NDArray 2x6 @cpu(0)> \n",
      "Y: \n",
      "[[ 7.  8.  9. 10. 11. 12.]\n",
      " [19. 20. 21. 22. 23. 24.]]\n",
      "<NDArray 2x6 @cpu(0)> \n",
      "\n"
     ]
    }
   ],
   "source": [
    "my_seq = list(range(30))\n",
    "for X, Y in data_iter_random(my_seq, batch_size=2, num_steps=6):\n",
    "    print('X:', X, '\\nY:', Y, '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 相邻采样\n",
    "def data_iter_consecutive(corpus_indices, batch_size, num_steps, ctx=None):\n",
    "    corpus_indices = nd.array(corpus_indices, ctx=ctx)\n",
    "    data_len = len(corpus_indices)\n",
    "    batch_len = data_len // batch_size\n",
    "    indices = corpus_indices[0:batch_size*batch_len].reshape((batch_size, batch_len))\n",
    "    print(indices)\n",
    "    epoch_size = (batch_len - 1) // num_steps\n",
    "    for i in range(epoch_size):\n",
    "        i = i * num_steps\n",
    "        X = indices[:, i:i+num_steps]\n",
    "        Y = indices[:, i+1 :i+num_steps+1]\n",
    "        yield X, Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "[[ 0.  1.  2.  3.  4.  5.  6.  7.  8.  9. 10. 11. 12. 13. 14.]\n",
      " [15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29.]]\n",
      "<NDArray 2x15 @cpu(0)>\n",
      "X: \n",
      "[[ 0.  1.  2.  3.  4.  5.]\n",
      " [15. 16. 17. 18. 19. 20.]]\n",
      "<NDArray 2x6 @cpu(0)> \n",
      "Y: \n",
      "[[ 1.  2.  3.  4.  5.  6.]\n",
      " [16. 17. 18. 19. 20. 21.]]\n",
      "<NDArray 2x6 @cpu(0)> \n",
      "\n",
      "X: \n",
      "[[ 6.  7.  8.  9. 10. 11.]\n",
      " [21. 22. 23. 24. 25. 26.]]\n",
      "<NDArray 2x6 @cpu(0)> \n",
      "Y: \n",
      "[[ 7.  8.  9. 10. 11. 12.]\n",
      " [22. 23. 24. 25. 26. 27.]]\n",
      "<NDArray 2x6 @cpu(0)> \n",
      "\n"
     ]
    }
   ],
   "source": [
    "for X, Y in data_iter_consecutive(my_seq, batch_size=2, num_steps=6):\n",
    "    print('X:', X, '\\nY:', Y, '\\n')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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